Edinburgh Napier University

  This paper investigates the effect of High Visibility Enforcement on different types of aggressive driving behavior: speeding, tailgating, unsafe lane changes and ‘other’ aggressive driving behavior types (occurrence of not-yielding right-of-way and red light or stop signs violations) using SHRP 2 Naturalistic Driving Study (NDS) data. To capture the intensity and duration of speeding and tailgating, scaled metrics are developed. These metrics capture the risk taking behavior of different drivers. To account for possible interrelationship among the metrics, Seeming Unrelated Regression Equation (SURE) models were developed. To analyze the likelihood of occurrence of unsafe lane changes and ‘other’ aggressive driving behavior types, a grouped random parameters ordered probit model with heterogeneity in means and a correlated grouped random parameters binary logit model were estimated, respectively. The results showed that drivers’ awareness of HVE implementation has the potential to decrease aggressive driving behavior.